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Author

Ramazan Ağırağaç

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Review Jul 2026

Diagnostic Performance of Deep Learning for Automated Mandibular Canal Segmentation on CBCT Images: A Systematic Review and Meta-Analysis.

Deep learning algorithms provide highly accurate, reproducible, and time-efficient results at a human-expert level in the automated segmentation of the mandibular canal on CBCT images and the integration of these AI systems into clinical protocols has the potential to enhance surgical safety and standardize preoperativ...

Ramazan Ağırağaç · 0 citations
Aug 2026

Comparative Evaluation of Large Language Models in Answering Patient Questions Following Periodontal and Peri-Implant Examination: An Expert-Based Study.

G Gemini demonstrated superior clinical precision and safety, whereas Claude provided more comprehensive and readable explanations, which support the integration of LLMs as pragmatic, high-ecological-validity complementary tools for patient education, while emphasizing the persistent necessity for professional clinical...

Ramazan Ağırağaç, Vedat Yüksekkaya · 0 citations

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